similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to schwabencode.com

Schwabencode alternatives & similar sites

BEN ABT - Performance is a feature | Cloud - AI - Azure - .NET - Sustainability — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Cloud Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
melcher.dev ↗	68 match 2 shared topics	Melcher.dev - Azure, DevOps, Cloud Architecture and other stuff	en	cloud-computing	robotsllmsaihumans	emailphone	none
jalenlowe.info ↗	67 match 2 shared topics	Jalen Lowe \| Cloud Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
james-schermer.dev ↗	67 match 2 shared topics	James J Schermer (Jimmy Schermer) - Software Engineer-Systems Architect \| Full-Stack Developer \| Cloud Architect	en	cloud-computing	robotsllmsaihumans	emailphone	none
agrimpatil.com ↗	67 match 2 shared topics	Agrim Patil \| Cloud Infrastructure and Systems Research	en	cloud-computing	robotsllmsaihumans	emailphone	none
ahmadsohaib.com ↗	67 match 2 shared topics	Sohaib Ahmad \| Site Reliability Engineer \| Cloud Solutions	Ireland~ en	cloud-computing	robotsllmsaihumans	emailphone	none
jamescrodgers.com ↗	67 match 2 shared topics	James Rodgers \| Cloud Architect & Software Engineer	en	cloud-computing	robotsllmsaihumans	email phone	none
derekpecka.com ↗	66 match 2 shared topics	Derek Pecka — Platform, Cloud & Reliability Engineering Leader	en	cloud-computing	robotsllmsaihumans	emailphone	none
bolet.io ↗	66 match 2 shared topics	bolet.io — practical writing on cloud, infra & software craft	en	cloud-computing	robotsllmsaihumans	emailphone	none
jainamkashyap.com ↗	66 match 2 shared topics	Jainam Kashyap - Portfolio	en	technology-and-computing	robotsllmsaihumans	email phone	none
jarredthomas.cloud ↗	66 match 2 shared topics	Jarred Thomas \| Cloud Engineer Portfolio	en	cloud-computing	robotsllmsaihumans	emailphone	none
diegogutierrez.dev ↗	66 match 2 shared topics	Diego Gutiérrez \| Engineering Manager & Staff Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dev-dox.com ↗	66 match 2 shared topics	Devdox \| Engineering, Architecture, and Cloud Consulting	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
gamon.io ↗	66 match 2 shared topics	Ernesto Gamon - Cloud Engineer & DevOps Specialist	en	cloud-computing	robotsllmsaihumans	emailphone	none
digambarrajaram.cloud ↗	65 match 2 shared topics	Digambar Rajaram \| DevOps & Cloud Infrastructure Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bogdan-vaduva.com ↗	65 match 2 shared topics	Bogdan Vaduva — Cloud Technical Lead & Software Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
jakeforman.com ↗	65 match 2 shared topics	Jacob Forman - Systems & Infrastructure Engineer \| Proxmox, AWS, Azure, Automation	United States~ en	cloud-computing	robotsllmsaihumans	email phone	none
aidenthenotorious.com ↗	65 match 2 shared topics	The Engineering perspectives of Aiden Tran \| Stop Just Coding	en	cloud-computing	robotsllmsaihumans	emailphone	none
sauravmodi.com ↗	65 match 2 shared topics	Saurav Modi \| Senior Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.